Qing Wu

2.4k total citations
57 papers, 1.9k citations indexed

About

Qing Wu is a scholar working on Rheumatology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Qing Wu has authored 57 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Rheumatology, 19 papers in Molecular Biology and 11 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Qing Wu's work include Folate and B Vitamins Research (30 papers), Metabolism and Genetic Disorders (10 papers) and Epigenetics and DNA Methylation (6 papers). Qing Wu is often cited by papers focused on Folate and B Vitamins Research (30 papers), Metabolism and Genetic Disorders (10 papers) and Epigenetics and DNA Methylation (6 papers). Qing Wu collaborates with scholars based in Canada, China and United States. Qing Wu's co-authors include Rima Rozen, Daniel Leclerc, Rima Rozen, Liyuan Deng, Robert W. Platt, Roy A. Gravel, Aaron Wilson, Laura Pickell, Benedicte Christensen and Xiaoling Wang and has published in prestigious journals such as American Journal of Clinical Nutrition, Cancer Research and Kidney International.

In The Last Decade

Qing Wu

56 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qing Wu Canada 23 1.1k 660 457 269 241 57 1.9k
Farès Namour France 23 722 0.7× 608 0.9× 244 0.5× 199 0.7× 119 0.5× 50 1.7k
Bernd Schwahn Germany 26 1.0k 0.9× 691 1.0× 333 0.7× 245 0.9× 54 0.2× 61 2.0k
Zoë Yates Australia 23 693 0.6× 337 0.5× 278 0.6× 181 0.7× 104 0.4× 55 1.4k
F. Trijbels Netherlands 21 1.4k 1.3× 836 1.3× 340 0.7× 681 2.5× 190 0.8× 40 2.4k
Heike Schorr Germany 21 969 0.9× 268 0.4× 153 0.3× 238 0.9× 84 0.3× 28 1.4k
Daniel Lambert France 18 405 0.4× 236 0.4× 158 0.3× 169 0.6× 61 0.3× 37 1.0k
Michèle Pfister France 15 386 0.3× 249 0.4× 119 0.3× 177 0.7× 51 0.2× 25 918
Sarah C. Grünert Germany 22 564 0.5× 716 1.1× 212 0.5× 102 0.4× 17 0.1× 86 1.6k
Jan Møller Denmark 15 562 0.5× 180 0.3× 65 0.1× 247 0.9× 58 0.2× 24 1.0k
M. A. Venkatachalam United States 22 102 0.1× 707 1.1× 363 0.8× 254 0.9× 66 0.3× 27 2.7k

Countries citing papers authored by Qing Wu

Since Specialization
Citations

This map shows the geographic impact of Qing Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Qing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Wu more than expected).

Fields of papers citing papers by Qing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Qing Wu. The network helps show where Qing Wu may publish in the future.

Co-authorship network of co-authors of Qing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Wu. A scholar is included among the top collaborators of Qing Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qing Wu. Qing Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jiang, Yale, Ye Leng, Qing Wu, et al.. (2025). Understanding the gap between expectations and reality in decentralized clinical trials. npj Digital Medicine. 8(1). 408–408. 1 indexed citations
2.
3.
Wan, Ming, et al.. (2018). Safety and Efficacy of Laparoscopic Radiofrequency Ablation for Hepatic Hemangiomas: A Multicenter Retrospective Study. Annals of Hepatology. 17(2). 268–273. 18 indexed citations
4.
Shi, Hui, et al.. (2014). Tyrosinase gene mutations in the Chinese Han population with OCA1. Genetics Research. 96. e14–e14. 10 indexed citations
5.
Meadows, Danielle N., Michał Pyzik, Qing Wu, et al.. (2014). Increased Resistance to Malaria in Mice with Methylenetetrahydrofolate Reductase (Mthfr) Deficiency Suggests a Mechanism for Selection of theMTHFR677C>T (c.665C>T) Variant. Human Mutation. 35(5). 594–600. 16 indexed citations
6.
Leclerc, Daniel, Nancy Lévesque, Liyuan Deng, et al.. (2013). Genes with Aberrant Expression in Murine Preneoplastic Intestine Show Epigenetic and Expression Changes in Normal Mucosa of Colon Cancer Patients. Cancer Prevention Research. 6(11). 1171–1181. 28 indexed citations
7.
8.
Pickell, Laura, Qing Wu, Xiaoling Wang, et al.. (2011). Targeted insertion of two Mthfr promoters in mice reveals temporal- and tissue-specific regulation. Mammalian Genome. 22(11-12). 635–647. 8 indexed citations
9.
Christensen, Karen E., Qing Wu, Xiaoling Wang, et al.. (2010). Steatosis in Mice Is Associated with Gender, Folate Intake, and Expression of Genes of One-Carbon Metabolism. Journal of Nutrition. 140(10). 1736–1741. 88 indexed citations
10.
Pickell, Laura, Deqiang Li, Xiaoling Wang, et al.. (2010). High intake of folic acid disrupts embryonic development in mice. Birth Defects Research Part A Clinical and Molecular Teratology. 91(1). 8–19. 88 indexed citations
11.
Fodil-Cornu, Nassima, et al.. (2009). Methylenetetrahydrofolate reductase (MTHFR) deficiency enhances resistance against cytomegalovirus infection. Genes and Immunity. 10(7). 662–666. 14 indexed citations
12.
Pickell, Laura, Deqiang Li, Leonie G. Mikael, et al.. (2009). Methylenetetrahydrofolate reductase deficiency and low dietary folate increase embryonic delay and placental abnormalities in mice. Birth Defects Research Part A Clinical and Molecular Teratology. 85(6). 531–541. 56 indexed citations
13.
Knock, Erin, et al.. (2008). Strain Differences in Mice Highlight the Role of DNA Damage in Neoplasia Induced by Low Dietary Folate. Journal of Nutrition. 138(4). 653–658. 38 indexed citations
14.
Leclerc, Daniel, et al.. (2008). Valproic acid increases expression of methylenetetrahydrofolate reductase (MTHFR) and induces lower teratogenicity in MTHFR deficiency. Journal of Cellular Biochemistry. 105(2). 467–476. 39 indexed citations
15.
Schwahn, Bernd, Leonie G. Mikael, Qing Wu, et al.. (2007). Betaine supplementation improves the atherogenic risk factor profile in a transgenic mouse model of hyperhomocysteinemia. Atherosclerosis. 195(2). e100–e107. 39 indexed citations
16.
Li, Deqiang, Laura Pickell, Ying Liu, et al.. (2005). Maternal methylenetetrahydrofolate reductase deficiency and low dietary folate lead to adverse reproductive outcomes and congenital heart defects in mice. American Journal of Clinical Nutrition. 82(1). 188–195. 75 indexed citations
17.
Wu, Qing, et al.. (2005). An Activated GOPS‐poly‐L‐Lysine‐ Coated Glass Surface for the Immobilization of 60mer Oligonucleotides. Engineering in Life Sciences. 5(5). 466–470. 14 indexed citations
18.
Leclerc, Daniel, Marylise Boutros, Qing Wu, et al.. (2002). SLC7A9 mutations in all three cystinuria subtypes. Kidney International. 62(5). 1550–1559. 38 indexed citations
19.
Leclerc, Daniel, Qing Wu, James Ellis, Paul Goodyer, & Rima Rozen. (2001). Is the SLC7A10 Gene on Chromosome 19 a Candidate Locus for Cystinuria?. Molecular Genetics and Metabolism. 73(4). 333–339. 13 indexed citations
20.
Leclerc, Daniel, Marie‐Hélène Odièvre, Qing Wu, et al.. (1999). Molecular cloning, expression and physical mapping of the human methionine synthase reductase gene. Gene. 240(1). 75–88. 44 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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